The four types of data analytics in increasing order of complexity and value are:

Descriptive Analytics deals with "What happened?". It summarizes historical data (for example, total transactions last month, NPA ratio by branch). Diagnostic Analytics deals with "Why did it happen?". It performs the root cause analysis, drill-down, correlation (for example, why did NPA increase in Q3?). Predictive Analytics deals with "What will happen?". ML models forecast future events (for example, which customers will default in next 90 days?). Prescriptive Analytics deals with "What should we do about it?". It involves optimization, decision support, simulation (for example, what loan limit should we offer this customer to maximize profitability while minimizing risk?). Each level provides higher value but requires more sophisticated techniques.